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Chaos-based hardware speech encryption scheme using modified tent map and bit permutation

This paper proposes a speech encryption scheme based on a generalized modified chaotic tent map and bit permutation and presents its hardware realization. The generalization scales the output range and increases the key space. The modification controls the bounds on the output range through a parameter such that chaotic output exists for almost all values of the parameter. The security and

Circuit Theory and Applications
Software and Communications

Predicting all star player in the national basketball association using random forest

National Basketball Association (NBA) All Star Game is a demonstration game played between the selected Western and Eastern conference players. The selection of players for the NBA All Star game purely depends on votes. The fans and coaches vote for the players and decide who is going to make the All Star roster. A player who continues to receive enough votes in following years will play more All

Artificial Intelligence

Multiswitching synchronization of commensurate fractional order hyperchaotic systems via active control

In this chapter, the multiswitching synchronization scheme has been investigated for a class of nonidentical fractional order hyperchaotic systems. The multiswitching complete synchronization scheme has been examined such that the state variables of the slave system synchronize with different state variables of the master system. For the synchronization of two nonidentical fractional order

Circuit Theory and Applications
Innovation, Entrepreneurship and Competitiveness

Browsers fingerprinting motives, methods, and countermeasures

With the continuous and aggressive competition in advertising businesses, uncontrollably desires have emerged to identify and classify consumers. It is proven that companies must have a clear definition of its target market. Based on this we have seen different ways to identify, analyze, and track consumers, either voluntarily or without their consent. Browser fingerprinting techniques have

Software and Communications

Bioinformatics functional analysis of let-7a, miR-34a, and miR-199a/b reveals novel insights into immune system pathways and cancer hallmarks for hepatocellular carcinoma

Let-7a, miR-34a, and miR-199 a/b have gained a great attention as master regulators for cellular processes. In particular, these three micro-RNAs act as potential onco-suppressors for hepatocellular carcinoma. Bioinformatics can reveal the functionality of these micro-RNAs through target prediction and functional annotation analysis. In the current study, in silico analysis using innovative

Healthcare

Biochar affects community composition of nitrous oxide reducers in a field experiment

N2O is a major greenhouse gas and the majority of anthropogenic N2O emissions originate from agriculturally managed soils. Therefore, developing N2O mitigation strategies is a key challenge for the agricultural sector and biochar soil treatment is one reported option. Biochar's capacity to increase soil pH and to foster activity of specialized N2O reducers has been proposed as possible mechanisms

Healthcare

SigPloit: A New Signaling Exploitation Framework

Mobile communication networks are using signaling protocols to allow mobile users to communicate using short messages, phone calls and mobile data. Signaling protocols are also used to manage billing for operators and much more. The design flaws that signaling inherits made them vulnerable to attacks such as location tracking of subscriber, fraud, calls and SMS interception. With the high rate of

Software and Communications

NU-Net: Deep residual wide field of view convolutional neural network for semantic segmentation

Semantic Segmentation of satellite images is one of the most challenging problems in computer vision as it requires a model capable of capturing both local and global information at each pixel. Current state of the art methods are based on Fully Convolutional Neural Networks (FCNN) with mostly two main components: an encoder which is a pretrained classification model that gradually reduces the

Artificial Intelligence

Memristor-CNTFET based Ternary Comparator unit

This paper proposes a new design for ternary logic comparator unit based on memristive threshold logic concept. To provide high-performance design, integrating memristor and Carbon Nano-Tube Field-Effect Transistor, CNTFET, is used. A comparison with other related work is presented to discuss performance aspects. It shows that performance has been improved by 75% compared with the other related

Circuit Theory and Applications

Control of a two link planar electrically-driven rigid robotic manipulator using fractional order SOFC

An intelligent adaptive fuzzy logic control technique, Fractional Order Self Organizing Fuzzy Controller (FOSOFC) is presented and applied to control a two link planar electrically-driven rigid robotic (EDRR) manipulator system. As EDRR is a multi-input multi-output complex nonlinear system, an intelligent adaptive controller, FOSOFC is considered to control it perfectly. To show the efficacy of

Artificial Intelligence
Circuit Theory and Applications
Software and Communications